Finance Fundamentals in R

This Track uses the R programming language.

The skills learned in this track can benefit careers in data science, finance, accounting, and analytics.

This Track teaches the fundamentals of finance and R, helping you understand how to make data-driven decisions. You will learn working with popular R packages, including xts, zoo, tidyquant, PerformanceAnalytics, and PortfolioAnalytics. You'll also gain hands-on experience working with real-world data, including stock data, investment portfolios, and data from the S&P 500.

This Track is self-paced and typically takes 28 hours to complete.

Skill tracks focus on teaching you the skills needed to succeed in a particular industry, while career tracks are more focused on helping you obtain a job in that industry.

This Track covers topics such as vectors, matrices, lists, and functions, working with time series data to evaluate index performance, importing and managing financial data from different sources, working with investment portfolios, calculating measures of risk, and calculating an optimal portfolio based on risk and return.

You will learn techniques such as working with popular R packages, including xts, zoo, tidyquant, PerformanceAnalytics, and PortfolioAnalytics, learning how to import and manage financial data, evaluating index performance with time series data, and calculating an optimal portfolio.